International Journal of Intelligent Engineering and Systems

6

Authors: Yuchen Yan, Qinghu Chen, Wei Deng, Feng Yuan

In this paper, a spectral feature extraction method based on fast Fourier transformation for writer identification is presented. According to the constructibility of the texture image of handwriting, we put forward an estimation method for mathematical expectation value of texture image’s spectral features. This method eliminates the randomness of spectral features and gets stable spectral features. The experiment results show that this approach enhances the identification accuracy to a large extent using data sets with large handwriting samples.

8

Authors: Kee-Baek Kim, Jong-Su Kim, Sangkeun Lee, Jong-Soo Choi

Image registration has been widely used in many image processing-related works. However, the exiting researches have some problems: first, it is difficult to find the accurate information such as translation, rotation, and scaling factors between images; and it requires high computational cost. To resolve these problems, this work proposes a Fourier-based image registration using pyramid edge images and a simple line fitting. Main advantages of the proposed approach are that it can compute the accurate information at sub-pixel precision and can be carried out fast for image registration. Experimental results show that the proposed scheme is more efficient than other baseline algorithms particularly for the large images such as aerial images. Therefore, the proposed algorithm can be used as a useful tool for image registration that requires high efficiency in many fields including GIS, MRI, CT, image mosaicing, and weather forecasting.